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Data center construction and engineering. Working with analytics and construction management software packages including Cora, Power BI, Primavera P6, Primavera Unifier, [redacted], Tableau.
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Senior Software Engineer, Applied Machine Learning (Semantic Search, Natural Language Processing (NLP), Large Language Models) - Priceless Platform. We are seeking an hands-on software engineer to join our team and drive development and deployment of Applied Machine Learning capabilities into our platform, such as Semantic Search, improved Recommendations, improved Text processing and Translations, and possibly a conversational interface.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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BS/BA or an advanced degree in GIS, environmental science, geology, geomatics engineering, geotechnical engineering, or related field with demonstrated GIS training or coursework. Understanding of remote sensing general principles and applications (e.g., LiDAR) and experience using derived data products (e.g., las dataset, DEM, DSM.
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You will manage a blended team of machine learning modelers, infrastructure experts, and software engineers. We are using machine learning and large language models to build software which helps our customers operate their businesses more effectively.
$216,000 - $378,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our ideal candidate will be a self-starter with a strong academic foundation, 5+ years of experience in deep learning and NLP, and recent industry experience with LLM's (prompt engineering, fine tuning, etc.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Experience in software architect and/or tech lead role(s) - Help to design and refactor the software systems. in the field, with academic backgrounds from MIT, UPenn, UChicago, and Duke. Our mission is to build the interface for next generation trustless / decentralized apps development.
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7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will be fluent in Python and experience with scientific software development for biochemical modeling (e.g. RDKit, Biopython, MDAnalysis, OpenMM)You will have demonstrated experience with modern Python frameworks for deep learning like PyTorchYou will have experience working with biochemical or biophysical datasets including graph, sequence, and structure-based data.
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Implement Common Core State Standards-aligned and Science of Reading-aligned curriculum and lessons that build and integrate rigorous and student-centered learning experiences in English in partnership with Mandarin Chinese co-teacher leading other subjects (i.e. Chinese language arts, mathematics, social science, science.
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You will be an integral part of Data Sciences at PinkDx, building and implementing a machine learning/AI/statistical modeling engine that develops classification models using a comprehensive menu of genomic features generated from next-generation sequencing (NGS) platforms, clinical features, and adjudicated truth labels.
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machine learning data mining software engineering jobs Company: Sheetz in San Francisco, CA
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